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  Overview The Rockchip RK3576 is a processor designed for high-end edge computing and industrial AI applications. It adopts an innovative heterogeneous architecture of 4×Cortex-A72 + 4×Cortex-A53 cores, paired with a 6TOPS NPU accelerator. Striking an excellent balance between performance and power efficiency, the chip supports industrial-grade operating temperatures from -40℃ to 105℃, while offering 8K video codec capability. It is an ideal choice for scenarios such as smart manufacturing and smart cities. Based on this processor, BLIIoT has launched the BL440 Edge Computing Gateway, which features flexible ROM/RAM configurations (up to 16GB + 128GB) and modular I/O design, enabling reliable deployment in harsh industrial environments. Core Performance Advantages Heterogeneous Computing Architecture: 4×Cortex-A72 @2.2GHz (performance cores) 4×Cortex-A53 @1.8GHz (efficiency cores) Intelligent task scheduling for dynamic power management AI Acceleration: 6TOPS NPU with INT4/INT8/FP16 mixed precision Typical AI performance:• Face recognition: 240fps @1080p• Object detection: 50fps @4K• Semantic segmentation: 30fps @2K Multimedia Processing: Video codec:• Decode: 8K30fps / 4K120fps• Encode: 4K60fps H.265/H.264 Display interface:• Dual 4K60 HDMI 2.1 outputs• Supports HDR10+ / Dolby Vision Industrial-Grade Reinforcement Environmental Adaptability: Passed MIL-STD-810G vibration/shock tests MTBF >50,000 hours Surge protection (4kV contact discharge) Security Features: Hardware-level TrustZone 2.0 secure enclave National cryptographic standards SM2/SM3/SM4 acceleration Secure boot + physical anti-tamper detection Typical Application Scenarios Industrial Vision Inspection: Supports 16-channel 1080p real-time analysis Detection accuracy: 99.2% @ defect detection Response latency: <50ms Intelligent Transportation Systems: Vehicle-road collaboration with multi-sensor fusion Supports 8-channel video structural analysis Typical power consumption: <15W under full load Energy IoT: Aggregates data from 200+ sensors at the edge Supports 18 protocols including Modbus / OPC UA Offline data caching ≥72 hours BLIIoT BL440 Solution Hardware Configuration: Compute unit: RK3576J Memory: 4GB / 8GB / 16GB LPDDR4X Storage: 32GB–128GB eMMC + NVMe expansion Interface Features: Standard:• 4×GbE (including 2×TSN)• 2×CAN-FD• 4×USB3.2 Optional:• 5G module (SA/NSA)• PoE+ power module Deployment Cases: Automotive factory: 36 devices networked to control 200+ robots Smart campus: single node processes 12-channel 4K surveillance video Wind power monitoring system: stable operation at -30℃ Selection Guide Recommended Use Cases:✓ Manufacturing quality inspection requiring on-site AI processing✓ Industrial device gateway with multi-protocol connectivity✓ High-density video analysis edge nodes Not Recommended For:× Autonomous driving requiring >20TOPS compute× Ultra-low power (<3W) sensor nodes× FPGA-level real-time signal processing Note: Actual performance may vary depending on system configuration. For the latest technical details, please refer to Rockchip’s official documentation or contact BLIIoT for customized solution recommendations.

  Overview The Rockchip RK3562J and RK3568J are two mainstream processors designed for industrial IoT and edge computing. While both target similar markets, they differ significantly in performance scalability and feature sets. RK3562J is positioned for entry-level industrial applications, whereas RK3568J is geared towards higher-performance multimedia and AI computing scenarios. This article provides a detailed analysis of their technical differences and application choices. 1. Core Architecture Differences CPU Configuration RK3562J: Standard quad-core Cortex-A53 (1.8GHz) + Cortex-M0 co-processor RK3568J: Enhanced quad-core Cortex-A55 (1.8GHz) with architectural optimizations for better performance Co-processor RK3562J: Integrated 200MHz Cortex-M0 RK3568J: No independent co-processor, but improved real-time performance via hardware acceleration units 2. Key Performance Comparison AI Acceleration RK3562J: Built-in 1TOPS NPU (INT8/INT16) RK3568J: Same NPU capability, but adds TensorFlow Lite framework support Multimedia Processing RK3562J: Supports 4K30 video encoding/decoding RK3568J: Maintains 4K30 support with improved encoding efficiency Memory Support Both: LPDDR4/LPDDR4X supported RK3568J: Optimized memory controller with ~12% higher bandwidth 3. Industrial Features Comparison Interface Expansion RK3562J: 2×CAN 2.0B + TSN Ethernet RK3568J: Adds PCIe 2.0 interface (not PCIe 3.0) Display Output Both: HDMI 1.4 RK3568J: Adds DisplayPort over USB-C support 4. Typical Application Scenarios RK3562J is better suited for:✓ Industrial control applications with real-time requirements✓ Single-channel video processing devices✓ Power-sensitive applications RK3568J is better suited for:✓ Applications requiring external accelerator cards✓ Projects with high interface expansion needs✓ HMI systems with complex display requirements 5. Power and Cost Analysis Typical Power Consumption RK3562J: 2–3W (M0 core can independently enter sleep mode) RK3568J: 3–4W (requires more sophisticated power management) Cost-effectiveness RK3562J: More cost-competitive in basic control scenarios RK3568J: More economical when interface expansion is required 6. Selection Decision Tree Need a hardware real-time core? → Yes: Choose RK3562J Need PCIe expansion? → Yes: Choose RK3568J Is the project budget limited? → Yes: Prefer RK3562J

Rockchip' s RK3576J and RK3588S are two high-performance processors designed for different application scenarios, each offering unique advantages in industrial computing and intelligent edge deployments. The RK3576J, with its heterogeneous Cortex-A72 + A53 architecture and built-in Cortex-M0 real-time core, excels in real-time demanding applications such as industrial control and in-vehicle electronics. On the other hand, the RK3588S, built on a more advanced 8nm process and featuring a Cortex-A76 + A55 architecture, delivers remarkable improvements in multimedia processing and AI performance. This makes it particularly suitable for edge servers and smart terminals requiring high-performance computing. Both processors are equipped with a 6 TOPS NPU, but in practice, the RK3588S benefits from a larger cache and higher memory bandwidth, providing superior efficiency in handling complex AI models. Based on these processors, BLIIoT has developed the BL440 Edge Gateway (RK3576J) and BL450 Edge Server (RK3588S), delivering complete hardware solutions tailored to different customer needs. Users can select the optimal product depending on computing requirements, environmental conditions, and budget. I. Core Architecture Comparison II. AI & Multimedia Capabilities NPU Performance: RK3576J: 6 TOPS (INT8/FP16) RK3588S: 6 TOPS (supports INT4/INT8/FP16/BFP16), with 35% higher throughput in real workloads Video Processing: pie title Video Codec Capabilities "RK3576J 8K Decode" : 30 "RK3588S 8K Decode" : 60 "RK3576J Encode" : 60 "RK3588S Encode" : 30 RK3576J: 8K decode @30fps, 4K encode @60fps RK3588S: 8K decode @60fps, 8K encode @30fps III. Interfaces & Expandability PCIe: RK3576J: PCIe 3.0 (8 GT/s) RK3588S: PCIe 4.0 (16 GT/s) Display Output: RK3576J: Dual 4K@60fps RK3588S: Quad-display (2×8K + 2×4K) Video Input: RK3576J: 4×4K MIPI-CSI RK3588S: 8×4K MIPI-CSI IV. Power Consumption & Thermal Design V. BLIIoT Product Implementation graph TD A[BL440 - RK3576J] -->|Advantage| B(Comprehensive Industrial Protocol Support) A --> C(Wide Temperature Range -40~105℃) D[BL450 - RK3588S] -->|Advantage| E(50% Stronger Computing Power) D --> F(Supports PCIe 4.0 Expansion) VI. Selection Decision Matrix Choose RK3576J when: ✓ Hardware real-time control is required (M0 core) ✓ Harsh industrial environments (-40~105℃) ✓ Cost-sensitive projects (30% lower BOM) Choose RK3588S when: ✓ 8K video processing is required ✓ Multiple PCIe device expansion ✓ High-density AI inference (parallel model support) VII. Typical Application Scenarios RK3576J Advantages: Industrial automation (PLC + vision) In-vehicle smart cockpit (dashboard + center console) Power IoT gateway RK3588S Advantages: Edge AI servers (16-channel video analytics) Cloud gaming terminals (8K@60fps) Digital twin workstations

  Overview The Rockchip RK3588S is a flagship processor designed for high-end intelligent computing scenarios. Featuring an 8-core heterogeneous architecture (4×Cortex-A76 + 4×Cortex-A55) combined with a 6TOPS NPU, it supports 8K video encoding/decoding and quad-display output. While maintaining a typical power consumption of just 15W, the RK3588S delivers desktop-class performance, making it especially suitable for edge servers and intelligent NVRs that require high-performance AI computing and multimedia processing. Based on this processor, BLIIoT has introduced the BL450 Edge Computing Server, supporting up to 32GB LPDDR5 memory and PCIe 4.0 expansion, addressing the high-density computing needs of smart city and Industrial IoT applications. Core Performance Advantages Compute Architecture 4×Cortex-A76 @ 2.4GHz + 4×Cortex-A55 @ 1.8GHz 4MB L3 + 2MB L2 cache Supports ARM DynamIQ technology AI Acceleration 6TOPS NPU (INT8/FP16 mixed precision) Typical AI performance:• Face recognition: 300fps @ 1080p• Object detection: 60fps @ 4K• Natural language processing: 1200 tokens/s Multimedia Processing Video Codec:• Decode: 8K@60fps (AV1/VP9/H.265)• Encode: 8K@30fps (H.265/H.264) Display System:• Quad-display output (2×8K + 2×4K)• HDR10 / HLG / Dolby Vision support Industrial-Grade Features Expansion Dual-channel PCIe 4.0 (8GT/s) 4×USB3.1 Gen2 (10Gbps) Dual-channel MIPI-CSI (single channel up to 8K input) Reliability Industrial-grade packaging (-40℃ ~ 85℃) ECC memory error correction Hardware-level security and encryption engine Typical Application Scenarios Edge Computing Servers Supports 16-channel 1080p video analytics Typical full-load power consumption: 18W Concurrently handles data from 200+ IoT devices Smart Security Systems Up to 32-channel video input Supports multiple algorithms in parallel (face, license plate, behavior recognition) ≥7 days of local storage backup during network outages Digital Twin Applications Real-time rendering of 4K 3D models Compatible with Unity/Unreal Engine Latency <20ms BLIIoT BL580 Solution Hardware Configuration Compute Unit: RK3588S Memory: 8GB / 16GB / 32GB LPDDR5 options Storage: Dual M.2 NVMe (up to 4TB) Networking Standard:• 2×10GbE SFP+• 4×2.5GbE RJ45 Optional:• 5G RedCap module• Wi-Fi 6E module Deployment Cases Smart campus: Single node managing 500+ smart devices Smart manufacturing: 20-node digital twin production line Cloud gaming: 50 concurrent 8K game streams Selection Guide Best suited for:✓ Edge computing nodes requiring desktop-class performance✓ Ultra-high-definition video analytics centers✓ Digital content creation workstations Not suitable for:× Autonomous driving domain controllers requiring >50TOPS× Ultra-low latency (<1ms) industrial control× Large-scale AI model training Note: Actual performance depends on thermal design and system optimization. Please refer to Rockchip official documentation for detailed specifications. BLIIoT provides customizable thermal management solutions.

  1. Processor Overview The RK3568J is a high-performance embedded processor launched by Rockchip, based on a quad-core Cortex-A55 architecture. It is designed for AI computing, multimedia processing, and edge computing. Known for its high computing power, rich interfaces, and industrial-grade reliability, the RK3568J is suitable for smart terminals, industrial control, and AIoT applications. BLIIoT’s ARMxy Edge Computing Device BL410 adopts the RK3568J processor, supporting multiple I/O expansions, widely used in industrial automation, intelligent security, and AI inference. 2. Key Specifications Category Specification CPU 4x Cortex-A55 (1.8GHz) GPU Mali-G52 2EE (OpenGL ES 3.2/2.0, Vulkan 1.1) NPU 1 TOPS (supports INT8/INT16/FP16, compatible with TensorFlow/MXNet/PyTorch) Multimedia - Video: 4K60 H.265/H.264 encode & decode, 8K30 decode- Camera: 4x MIPI-CSI (up to 16MP) Memory/Storage Supports LPDDR4X (up to 8GB), eMMC 5.1, SD 3.0 Interfaces - Industrial: 2x Gigabit Ethernet (TSN), 4x UART, 2x CAN 2.0B- Expansion: USB 3.0/2.0, PCIe 3.0, SPI/I²C- Display: HDMI 2.0, LVDS, MIPI-DSI (dual-screen) Reliability Industrial-grade temperature range (-40°C to +85°C), secure boot, encryption engine 3. Core Features High-Performance Heterogeneous Computing Cortex-A55 cores: Run lightweight applications (system scheduling, communication stacks). Multimedia and AI Acceleration Hardware-accelerated 4K60 video processing, ideal for smart display and surveillance. 1 TOPS NPU supports lightweight AI inference (face recognition, object detection). Industrial-Grade Design Wide temperature operation and anti-interference design for harsh environments. Rich industrial interfaces (CAN, TSN Ethernet), compatible with mainstream industrial protocols. 4. Typical Application Scenarios (1) Smart Industrial Control Industrial HMI: Mali-G52 enables smooth graphical UI, with multi-protocol support (CAN/Ethernet). Machine Vision: 4K camera input + NPU-based defect detection. (2) Edge AI Computing Smart Security: Facial recognition gates, behavior analysis cameras. Retail Terminals: Self-checkout + product recognition (NPU acceleration). (3) Multimedia Terminals Digital Signage: 4K advertisement playback + dual interactive displays. In-Vehicle Entertainment: Multi-screen display (dashboard + rear-seat). (4) Networking and Communication 5G Edge Gateway: PCIe 3.0 connects to 5G modules for data aggregation. Industrial IoT Gateway: TSN Ethernet supports real-time device communication. 5. Competitor Comparison (RK3568J vs. Peers) Feature RK3568J TI AM6254 NXP i.MX8M Plus CPU 4x Cortex-A55 4x Cortex-A53 + M4F 4x Cortex-A53 + 2x M7 NPU 1 TOPS None 2.3 TOPS Video 4K60 H.265/H.264 1080p60 H.265/H.264 4K60 H.265/H.264 Industrial I/F CAN 2.0B + TSN Ethernet CAN-FD + PRU-ICSS CAN-FD Display Output Dual-screen (HDMI/LVDS/MIPI) Dual-screen (LVDS/HDMI) Dual-screen (LVDS/HDMI) Power 3–5W <3W 4–6W Strengths AI + Multimedia + Industrial Real-time + Low Power High-Performance AI + Multimedia 6. Advantages and Limitations Advantages✅ High-performance heterogeneous computing✅ 4K60 multimedia capabilities✅ Rich industrial interfaces (CAN/TSN Ethernet) Limitations❌ NPU computing power is limited (complex AI requires external accelerator)❌ No hardware-level real-time core (e.g., M4/M7)❌ Slightly higher power than TI AM6254 7. Conclusion The RK3568J targets the mid-to-high-end embedded market, offering: Balanced performance and AI capability: Suitable for lightweight AI + multimedia scenarios. Industrial compatibility: Wide-temp design and multiple interfaces for automation and communication devices. Recommended Scenarios: Industrial HMI + machine vision Edge AI terminals (security, retail) 4K multimedia devices Not Recommended: Ultra-low power devices (TI AM6254 preferred) High-performance AI (≥4 TOPS NPU required) Alternative Options: For stronger AI: RK3588 (6 TOPS) For better real-time control: NXP i.MX8M Plus (M7 cores)

Powered by a T113-i dual-core A7 processor with a 1.2GHz clock speed, the BL330 offers the perfect balance of performance and efficiency for industrial applications. ✅ Rich I/O expansion (DI, DO, AI, AO, RTD, RS485, CAN, Encoder & more)✅ Compatible with OpenPLC & Node-RED✅ Optional RAM & ROM configurations✅ Secure remote access with BLRAT (OpenVPN-based)Ideal for edge computing, protocol conversion, and automation control — all in one compact, rugged package.Let’s make IIoT easier, together! ?

  ? Scenario In a municipal wastewater treatment plant, PAC (Polyaluminum Chloride) is used for chemical dosing to improve sedimentation and reduce turbidity in treated water. The process demands accurate and responsive control based on real-time water quality parameters. ? Configuration ARMxy Industrial Controller Y-AI Board – for collecting turbidity and pH signals from online sensors Y-AO Board – for controlling the dosing pump frequency   ⚙️ Implementation The Y-AI board reads analog signals (0–20mA) from online turbidity and pH sensors. The OpenPLC program analyzes turbidity fluctuations and dynamically adjusts the analog output of the AO board (-10 to 10V), which corresponds to a 0–50Hz frequency control of the chemical dosing pump. The system automatically generates daily dosing reports, which are stored locally and optionally synced to a remote server.   ✅ Advantages The ARMxy controller enables remote storage and historical data access, allowing regulatory bodies to retrieve water quality and dosing logs for compliance checks. The Y-AO board supports flexible voltage/current output switching, ensuring compatibility with various dosing equipment models. OpenPLC logic ensures real-time responsiveness and customizable dosing strategies based on site-specific conditions.   ? Conclusion This chemical dosing solution, built on ARMxy + OpenPLC, is cost-effective, adaptable, and compliant with environmental monitoring needs. It's a scalable foundation for modernizing process control in wastewater treatment infrastructure.

Your Compact Powerhouse for Industrial Edge Applications! Powered by i.MX6ULL ARM-A7, with a clock speed of 800MHz, the BL310 offers: ? Rich I/O expansion ports (DI, DO, AI, AO, RTD, RS485/232, CAN, GPIO, and more) ? Flexible RAM & ROM configuration ? Full compatibility with OpenPLC and Node-RED ? Secure remote access via BLRAT (OpenVPN) for efficient maintenancePerfect for automation control, protocol conversion, and smart IoT deployments.Let’s make IIoT easier – from the edge to the cloud. ?

  ?️ Scenario A 12-level vertical car parking system requiring precise, safe, and remote-controllable lift operation. ?️ Configuration ARMxy Edge Controller Y-Series High-Speed Pulse Output Module (for driving lift motors) X-Series DI Module (for receiving floor alignment and anti-fall sensor signals)   ? Implementation The pulse module generates A/B phase pulses (up to 100kHz) to control the servo motor for vertical lift motion. DI inputs are used to validate positional feedback (e.g., level alignment sensors and anti-fall switches) to form a closed-loop control system. The controller communicates with the parking payment system via RS485, ensuring smooth operation and status tracking.   ✅ Advantages Equipment manufacturers can remotely fine-tune pulse parameters to accommodate different lift heights using OpenPLC and BLRAT Remote Access Tool. The X-Series DI module supports mixed-voltage input, simplifying wiring with different sensor types. Modular I/O and programmable control offer flexible deployment for various smart parking models.  

  Scenario In electric vehicle (EV) manufacturing, formation and grading is a crucial step for lithium battery cells. It involves controlled charging/discharging cycles to activate electrochemical performance and assess cell consistency. Precision, automation, and safety are key. System Configuration ARMxy Edge Controller – Serves as the central processing unit Y-Series AI Module – Monitors individual cell voltages (-10–10V range) X-Series DO Module – Controls charging/discharging circuits   Implementation The Y-AI module continuously scans voltage levels of each battery cell with high-resolution input. An OpenPLC program performs real-time comparison between cells and triggers charge balancing actions. The X-DO module controls relays or contactors to safely interrupt abnormal charging loops in case of voltage deviations.   Key Benefits ✅ Automated test sequencing based on real-time data ✅ Voltage balancing logic built with open-source OpenPLC for flexible adjustment ✅ Remote Excel report generation for quality traceability ✅ Space-saving wiring with Y-series high-density analog input board — saving up to 90% panel space This solution offers a customizable, cost-effective, and scalable platform for lithium battery manufacturers, integrating seamlessly with cloud platforms or MES systems.

Looking for a secure and flexible way to manage your industrial edge devices remotely? ? Our ARMxy Edge Gateway combined with BLRAT (BL Remote Access Tool) empowers engineers to access and manage devices from anywhere, with enterprise-grade OpenVPN encryption ensuring end-to-end data protection.✅ Remote PLC programming✅ Real-time diagnostics and control✅ Encrypted data transmission✅ Defense against unauthorized access and tamperingWhether you're in smart manufacturing, energy systems, or intelligent infrastructure, this is your ultimate edge connectivity and security solution.? Let's make your industrial IoT deployment easier—and safer.

In the age of smart agriculture, precision environmental control is key to optimizing crop yield and quality. This OpenPLC-based automation solution demonstrates how a 50-mu (approximately 3.3 hectares) connected tomato greenhouse leverages edge computing and I/O flexibility for fully autonomous and remotely accessible climate regulation. ? Application Scenario Smart Tomato Greenhouse – 50-Mu Cluster To maintain ideal growing conditions, the greenhouse requires real-time monitoring and dynamic control of temperature, humidity, CO₂ concentration, and light intensity. An automated control system powered by the ARMxy Edge Controller and OpenPLC ensures that environmental factors are continuously monitored and adjusted. ? System Configuration ARMxy Main Controller – Runs OpenPLC logic and communicates with remote systems via MQTT/cloud interface. Y-AI Board – Collects analog signals from environmental sensors (CO₂, light, temperature, humidity). X-DO Board – Controls actuators including roof vents, exhaust fans, grow lights, and drip irrigation valves.

As solar energy systems scale up, efficient monitoring and intelligent control at the edge become critical for improving reliability and maintenance efficiency. In this case study, we showcase how the ARMxy series industrial controller, combined with OpenPLC, powers smart string-level monitoring and environmental management in a 100MW solar PV station. ? Application Scenario In a large-scale 100MW photovoltaic power station, the field includes multiple combiner boxes collecting current and voltage from dozens of PV strings. Accurate, real-time string-level monitoring is crucial for early fault detection, thermal management, and long-term efficiency optimization. ⚙️ System Configuration ARMxy Edge Controller Acts as the central control unit running the OpenPLC logic. X-RS485 Communication Module Communicates with multiple string monitoring units (SMUs) over Modbus RTU. Y-AI Analog Input Module Monitors temperature and humidity inside the combiner box using direct analog sensors.

In the era of smart manufacturing, automotive production lines are embracing more intelligent, flexible, and efficient control systems. This case study showcases how the ARMxy embedded controller combined with modular I/O boards and OpenPLC is used to coordinate robot welding stations in a car body assembly line. ? Application Scenario In a car manufacturing plant’s body-in-white (BIW) workshop, six welding robots must operate in tight synchronization. The system needs to coordinate signals from fixtures, adjust welding current dynamically, and manage post-weld cooling — all with high flexibility and easy configuration for different car models. The client required: Precise welding sequence control Remote debugging and PLC program updates Flexible parameter adjustment for new vehicle models Modular expansion to adapt to equipment changes ? System Configuration ✅ Main Controller: ARMxy Embedded Edge Gateway Runs OpenPLC, Node-RED, Docker, with remote management capability ✅ X-DI Digital Input Module Detects fixture clamping and safety signals ✅ X-DO Digital Output Module Controls welding gun on/off and cooling water valves ✅ Y-AO Analog Output Module Outputs 4–20mA signal to regulate welding current (0–500A) ? How It Works Using OpenPLC logic: Fixture Detection (DI): Once all clamps are in position, the welding sequence is triggered. Dynamic Current Control (AO): The AO module outputs a 4–20mA signal to adjust the welding power source based on plate thickness.

In industrial IoT (IIoT) and smart manufacturing scenarios, IoT gateways serve as the critical bridge connecting field devices with cloud platforms. Faced with diverse PLC brands, varying data acquisition requirements, and complex application scenarios, how do you select the most suitable IoT gateway? As a leader in industrial communication, BLIIOT offers four series of IoT gateways that cover everything from simple data collection to advanced edge computing. This article will help you quickly identify the optimal solution based on your specific application needs! 1. Basic Data Acquisition: BL110 Series – Simple, User-Friendly & Reliable ✅ Best for: Small-scale data points, easy configuration, no programming required ✅ Key Advantages: Plug-and-play: No programming needed, just configure register mapping for deployment in 5 minutes Wide compatibility: Supports Modbus RTU/TCP, Siemens S7, Mitsubishi FX, and other major PLC protocols Stable operation: Industrial-grade hardware design for 24/7 reliable performance   ? Typical Applications: Small equipment monitoring, energy consumption data collection, temperature/humidity monitoring ? Recommended Product: BL110 Details    

Seamlessly connect and convert between major industrial protocols: ✅ Modbus RTU/TCP, DL/T645✅ BACnet/IP, BACnet MS/TP✅ IEC104, MQTT, OPC UA✅ PLC to Modbus & moreWith built-in 4G and protocol conversion, the BE115 simplifies complex system integration — ideal for solar plants, substations, and distributed energy applications.? One device. One click. One powerful gateway for your IIoT system.

Why deploy PLC, I/O, gateway, and remote tools separately?IOy = PLC + I/O + Protocol Gateway + Remote Access – all in one compact industrial device.✅ Collect, control & connect field data✅ Reduce integration costs by up to 70%✅ Support Modbus, MQTT, SNMP, OPC UA, IEC104, BACnet/IP, and more✅ Ideal for smart buildings, power systems, and factory automation? Enable fast and reliable remote automation deployment today.

? Looking for a cost-effective embedded solution for your next edge project? Introducing the ARMxy BL335 Embedded Computer –✅ Dual-core Cortex-A7✅ Optional RAM/ROM & modular I/O✅ Compact, fanless, industrial-grade design✅ Ideal for edge gateways, protocol conversion, and control systemsWhether you're building smart factories, energy monitoring, or custom IIoT devices – BL335 delivers reliability and flexibility without breaking the budget.

In the world of Industrial IoT (IIoT), the ability to efficiently monitor, store, and analyze large volumes of time-stamped data is essential. From environmental sensors in smart factories to energy meters in power systems, time-series data forms the backbone of real-time insight and historical analysis. InfluxDB, an open-source time-series database, is designed specifically for these use cases. Combined with the industrial-grade ARMxy Edge Gateway, it creates a robust edge solution for reliable data acquisition, storage, and visualization—all without depending on cloud availability. ? Why InfluxDB on ARMxy? InfluxDB is lightweight, high-performance, and optimized for time-series workloads. It supports powerful query languages, retention policies, and integrations with monitoring tools such as Grafana. When deployed directly on an ARMxy (RK3568J/RK3568B2) gateway, it becomes a local data engine with key advantages: Minimal latency: Store and query data at the edge Offline reliability: Operate without cloud or internet connection Flexible integration: Compatible with Modbus, OPC UA, MQTT, and more   ? Real-World Use Case Example Imagine a factory floor with multiple PLCs controlling machinery. Each PLC sends temperature, vibration, and power consumption data every few seconds. Instead of sending that data to a remote server, it can be ingested directly into InfluxDB running on the ARMxy device.  

The BL370 series is powered by the industrial-grade Rockchip RK3562/RK3562J processor, featuring a multi-core heterogeneous architecture with a quad-core ARM Cortex-A53 and a single-core ARM Cortex-M0, clocked at up to 1.8GHz/2.0GHz. It offers a robust solution with 4GB LPDDR4X RAM and 32GB eMMC storage, along with a rich set of I/O interfaces. The built-in 1 TOPS NPU supports deep learning capabilities, making it ideal for AI-driven applications.